python - Plotting two line plots of different index lengths with disconnects where there is no data -


i have 2 data sets need plot on single pair of axes. each data set contains 2 lists:

  • dates (in format of yyyymm)
  • values (monthly averages)

the problem having 1 data set contains summer months (plotted in red), while other contains every month (plotted in blue). result, image 1 below: red , blue line plots both extend continuously left side right side of graph.

however, don't want line plot summer months (red) connect between years. is, don't want draw line between data points 200208 , 200306. want gap in red line data not exist, graph joe kuan.

blue line has continuous data. red line has breaks no data exist.

the code used plot first image is:

#data1 x = monthly_avgs_aod.index.tolist() x = [dt.datetime.strptime(i, '%y%m') in x]  y = monthly_avgs_aod.values.tolist()  #data2 q = monthly_avgs_pm.index.tolist() q = [dt.datetime.strptime(i, '%y%m') in q]  w = monthly_avgs_pm.values.tolist() plt.plot(q, w, '-r')     plt.plot(x, y, ':b') 

the data using looks this:

#data1 x=['200101','200102','200103','200104','200105','200106','200107','200108','200109','200110','200111','200112','200201','200202','200203','200204','200205','200206','200207','200208','200209'] y=[30.2,37.6,34.7,27.1,31.9,43.9,42.4,42.3,34.4,40.0,47.2,40.8,34.7,27.1,31.9,43.9,42.4,42.3,34.4,40.0,47.2]  #data2    q=['200106','200107','200108','200206','200207','200208'] w=[19.7,18.6,15.2,17.3,16.9,18.2] 

any appreciated.

the easiest solution in case both lists of dates share same dates (i.e. month might either in list or not), fill list contains summer months none values @ positions there no data , plot against same x complete y list plotted against.

import matplotlib.pyplot plt import datetime dt #data1 x=['200101','200102','200103','200104','200105','200106','200107','200108',    '200109','200110','200111','200112','200201','200202','200203','200204',    '200205','200206','200207','200208','200209'] x = [dt.datetime.strptime(i, '%y%m') in x]  y=[30.2,37.6,34.7,27.1,31.9,43.9,42.4,42.3,34.4,40.0,47.2,    40.8,34.7,27.1,31.9,43.9,42.4,42.3,34.4,40.0,47.2]  #data2    q=['200106','200107','200108','200206','200207','200208'] q = [dt.datetime.strptime(i, '%y%m') in q]  w=[19.7,18.6,15.2,17.3,16.9,18.2]  i, xi in enumerate(x):     if xi not in q:         w.insert(i, none)   plt.plot(x,y, '-r')     plt.plot(x,w,':b')   plt.show() 

enter image description here


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